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Home  >  Volume 43

16. Genetic-Fuzzy Prediction of Diabetes by Ejiofor C. I andOchei L. C. JNAMP Vol. 43,(Sept, Nov., 2017), pp 107 – 112
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Abstract

Hybrid systems are optimal systems adapting the strength of twosystems. Genetic-Fuzzy system adapted Genetic Algorithm (GA) and Fuzzy Classification (FC). The optimization was handled with GA while the classification was handled using FC. The interfaces captured have shown the optimality of GA in eliminating noisy features while upholding the adaptability of fuzzy classification for multivariate classification of diabetes. The simulation was perceived using Matrix Laboratory (MATLAB).

Keywords: Genetic Algorithm, Fuzzy logic, Diabetes.

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